panelSelectCorr {VisCov} | R Documentation |
Selecting a Panel(s) using the Mouse
Description
To visualize relevant parameters for correlation matrix, removing those panels related to variances.
Usage
panelSelectCorr(CovPlotData, range.logical.contour = FALSE,
range.logical.all = TRUE)
Arguments
CovPlotData |
the output list returned by |
range.logical.all |
a logical value indicating whether the ranges in the panels are set as the same over different sets of samples. For the histograms, the ranges of frequencies are set as the same over the different sets of samples. |
range.logical.contour |
a logical value indicating whether the ranges of
the contour plots are set as the same over different sets of samples when
|
Details
After drawing a graph by VisCov
, one can select and draw relevant
panels for correlation matrix.
Value
No return value, called for side effects.
References
Tokuda, T., Goodrich, B., Van Mechelen, I., Gelman, A. and Tuerlinckx, F. (submitted). Visualizing Distributions of Covariance Matrices.
Examples
set.seed(1234)
distribution = "LKJ"
eta = 5
dim = 50
param = list(prob = 0.5, dim = dim, eta=eta, scaleCov = diag(1,dim))
CovPlotData = VisCov(distribution, param,title.logical = FALSE)
panelSelectCorr(CovPlotData)